pike.git / src / modules / Image / testsuite.in

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pike.git/src/modules/Image/testsuite.in:1: + START_MARKER    -  + test_eq([[ Image.PNM.decode("P1\n5 5\n0 1 1 1 1\n1 0 1 1 1\n" +  "1 1 0 1 1\n1 1 1 0 1\n1 1 1 1 0") ]], + Image.PNM.decode("P4\n5 5\nx¸Øèð") ) +  + test_eq([[ Image.GIF.decode(MIME.decode_base64( +  "R0lGODlhBQAFAIAAAAAAAP///ywAAAAABQAFAAACCAxwEWrY8BwoADs=")) ]], + Image.PNM.decode("P4\n5 5\nx\00èØèð") ) +  + test_true( objectp(Image.Image()) ) + test_false( Image.Image()->xsize() ) + test_false( Image.Image()->ysize() ) +  + test_true( objectp(Image.Image(100,100)) ) + test_eq( Image.Image(100,100)->xsize(), 100) + test_eq( Image.Image(100,100)->ysize(), 100) + test_false( Image.Image(100,100)!=0 ) +  + test_do([[ + // http://bugs.roxen.com/3384 + Image.Image(1,1)->scale(0.5)->scale(2.0); + ]]) +  + define(test_too_big,[[ + test_true( $1>0 ) + test_eval_error([[ +  // This should work if you have $1*2*4 bytes of memory +  Image.Image($1,2) + ]]) + test_eval_error( Image.Image($1/32768,65537) ) + test_eval_error( Image.Image($1/(32768*3),65537) ) + ]]) +  + test_too_big(0x7fffffff) + test_too_big(0x7ffffffff) + test_too_big(0x7fffffffff) + test_too_big(0x7ffffffffff) +  + test_true( objectp(Image.Image(1000,1000,17,42,96)) ) + test_eq( Image.Image(1000,1000,17,42,96)->xsize(), 1000) + test_eq( Image.Image(1000,1000,17,42,96)->ysize(), 1000) + test_false( Image.Image(1000,1000,17,42,96)!=({17,42,96}) ) +  + define(test_cx,[[ + test_do( add_constant("cx", c1) ) + $1 + test_do( add_constant("cx", c2) ) + $1 + test_do( add_constant("cx", c3) ) + $1 + test_do( add_constant("cx") ) + ]]) +  + define(test_color,[[ + test_do( add_constant("c1", Image.Color($1)) ) + test_do( add_constant("c2", Image.Color($2, $3, $4)) ) + test_do( add_constant("c3", Image.Color.rgb($2, $3, $4)) ) + test_eq( c1, c2 ) + test_eq( c2, c3 ) + test_eq( c3, c1 ) + test_cx([[ test_eq( c1->r, $2 ) ]]) + test_cx([[ test_eq( c1->g, $3 ) ]]) + test_cx([[ test_eq( c1->b, $4 ) ]]) + test_cx([[ test_equal( c1->rgb(), ({ $2, $3, $4 }) ) ]]) + test_cx([[ test_equal( cx->hsv(), ({ $5, $6, $7 }) ) ]]) + test_cx([[ test_eq( cx->hex(), sprintf("#%02x%02x%02x", $2, $3, $4) ) ]]) + test_cx([[ test_eq( cx->greylevel(), $8 ) ]]) + test_cx([[ test_eq( cx->grey()->r, $8 ) ]]) + test_cx([[ test_eq( sprintf("%t", cx->cmyk()[*])*"", "float"*4) ]]) + test_cx([[ test_eq( sprintf("%t", cx->hsvf()[*])*"", "float"*3) ]]) + test_cx([[ test_eq( sprintf("%t", cx->rgbf()[*])*"", "float"*3) ]]) + test_cx([[ test_do( cx->light() ) ]]) + test_cx([[ test_do( cx->dark() ) ]]) + test_cx([[ test_do( cx->neon() ) ]]) + test_cx([[ test_do( cx->dull() ) ]]) + test_cx([[ test_do( cx->bright() ) ]]) + test_cx([[ test_eq( cx->name(), $1) ]]) + test_cx([[ test_eq( (string)cx, $1) ]]) + test_cx([[ test_equal( (array)cx, ({ $2, $3, $4 }) ) ]]) + test_do( add_constant("c1") ) + test_do( add_constant("c2") ) + test_do( add_constant("c3") ) + ]]) +  + test_color( "black", 0, 0, 0, 0, 0, 0, 0 ) + test_color( "blue", 0, 0, 255, 170, 255, 255, 41 ) + test_color( "cyan", 0, 255, 255, 127, 255, 255, 168 ) + test_color( "green", 0, 255, 0, 85, 255, 255, 127 ) + test_color( "magenta", 255, 0, 255, 212, 255, 255, 128 ) + test_color( "red", 255, 0, 0, 0, 255, 255, 87 ) + test_color( "white", 255, 255, 255, 0, 0, 255, 255 ) + test_color( "yellow", 255, 255, 0, 42, 255, 255, 214 ) +  + test_true( arrayp(indices(Image.Color)) ) + test_true( stringp(indices(Image.Color)[0]) ) + test_true( sizeof(indices(Image.Color))>8 ) +  + test_true( arrayp(values(Image.Color)) ) + test_true( objectp(values(Image.Color)[0]) ) + test_eq( sizeof(indices(Image.Color)), sizeof(values(Image.Color)) ) + test_eq( Image.Color(0xffffff), Image.Color.white ) + test_eq( (int)Image.Color(0xabcdef), 0xabcdef ) +  + define(test_img,[[ + test_do([[ +  object img = Image.Image(100,100)->test(42); +  img->setpixel(2,2,0,255,0); +  add_constant("img", img); + ]]) + $1 + test_do( add_constant("img") ) + ]]) +  + test_img([[ test_false( equal(img->max(),({0,0,0})) ) ]]) + test_img([[ test_true( objectp( img->setpixel(3,3,0,255,0) ) ) ]]) + test_img([[ test_false( img==img->invert() ) ]]) + test_img([[ test_eq( img->invert(), img->invert() ) ]]) +  + test_img([[ test_eq( img->copy(), img ) ]]) + test_img([[ test_eq( img->copy(25,25,75,75), img->copy(25,25,75,75) ) ]]) + test_img([[ test_false( img==img->copy(25,25,75,75) ) ]]) + test_img([[ test_false( img->copy()==img->invert()->copy() ) ]]) +  + test_img([[ test_false( img==img->clear() ) ]]) + test_img([[ test_eq( img->clear(0,0,0), 0 ) ]]) + test_img([[ test_eq( img->clear(1,255,0), ({1,255,0}) ) ]]) +  + test_img([[ test_eq( img, img->clone() ) ]]) + test_img([[ test_fales( img->clone()==img->invert()->clone() ) ]]) +  + test_do([[ +  object img = Image.Image(20,20); +  img->box(4,4,8,8,Image.Color.red); +  img->box(8,8,12,12,Image.Color.green); +  img->box(12,4,16,8,Image.Color.blue); +  img->setcolor(255,255,255); +  add_constant("img", img); + ]]) + test_equal( img->find_autocrop(), ({ 4, 4, 16, 12 }) ) + test_equal( img->find_autocrop(5), ({ -1, -1, 21, 17 }) ) + test_equal( img->find_autocrop(-2), ({ 6, 6, 14, 10 }) ) + test_equal( img->find_autocrop(0,1,0,0,0), ({ 4, 0, 19, 19 }) ) + test_equal( img->find_autocrop(0,0,1,0,0), ({ 0, 0, 16, 19 }) ) + test_equal( img->find_autocrop(0,0,0,1,0), ({ 0, 4, 19, 19 }) ) + test_equal( img->find_autocrop(0,0,0,0,1), ({ 0, 0, 19, 12 }) ) + test_eq( img->autocrop(),[[ +  Image.GIF.decode(MIME.decode_base64( +  "R0lGODlhDQAJAJEAAAAAAP8AAAAA/wD/ACwAAAAADQAJAAECIkwcACD" +  "Sck5azkE5mb1yaYsNg7gJ\r\nHjCOw3mqI+u5K4y6ZwEAOw==")) ]]) + test_eq( img->autocrop(0,1,0,0,0),[[ +  Image.GIF.decode(MIME.decode_base64( +  "R0lGODlhEAAUAJEAAAAAAP8AAAAA/wD/ACwAAAAAEAAUAAECOQR8l6r" +  "c/SCUc54QcFBCdKFk2XZ4\r\nHniNJHB6ocq1bzYMdYtCtj1YDW/zKY" +  "A9IYBoNCaVSmaz+YQ2CgA7")) ]]) + test_eq( img->autocrop(0,0,1,0,0),[[ +  Image.GIF.decode(MIME.decode_base64( +  "R0lGODlhEQAUAJEAAAAAAP8AAAAA/wD/ACwAAAAAEQAUAAECOgR8l6" +  "rc/SCUc1YVQg5KCC80msYd\r\n3xdiZAmgn7h2LqwNg+2m030PFtS7" +  "/RpB3/BQPB6Vy2XT6YRGfwUAOw==")) ]]) + test_eq( img->autocrop(0,0,0,1,0),[[ +  Image.GIF.decode(MIME.decode_base64( +  "R0lGODlhFAAQAJEAAAAAAP8AAAAA/wD/ACwAAAAAFAAQAAECMwQckX" +  "Eg8kRrQCl2IJT0XNVsUOd9\r\noUhW1zCwIpcebTvEKd3aJF7rFO/z" +  "BYVCYrF4RCJjBQA7")) ]]) + test_eq( img->autocrop(0,0,0,0,1),[[ +  Image.GIF.decode(MIME.decode_base64( +  "R0lGODlhFAANAJEAAAAAAP8AAAAA/wD/ACwAAAAAFAANAAECNQR8l6" +  "rc/SCUc1ZrQQg7KCGAgsVx\r\n3hGG42Ryn7pC7QnAcdMOg25nyr4b" +  "+CbB3RBSFB5/RUsBADs=")) ]]) + test_eq( img->autocrop(5),[[ +  Image.GIF.decode(MIME.decode_base64( +  "R0lGODlhFwATAKIAAAAAAP8AAAAA/wD/AP///wAAAAAAAAAAACwAAA" +  "AAFwATAAIDVkiku+0OOgBo\r\nrRdjPPf2H9CFYTiWJbdsQdAGmCDI" +  "gkqwrhvPs43nO54Pk9NVeL3KqTgYNJE15arkdA5Kp43ViZ2G\r\ntl" +  "eT9wPu3lKpYTqdXX/abnX8TUgAADs=")) ]]) + test_eq( img->autocrop(5,0,0,0,1),[[ +  Image.GIF.decode(MIME.decode_base64( +  "R0lGODlhHgAXAKIAAAAAAP8AAAAA/wD/AP///wAAAAAAAAAAACwAAA" +  "AAHgAXAAIDbUiku+0Oxjgp\r\ntfdmrXnvHwiKIwEAJ4qq67qOrhvL" +  "KEzTt43jrg4EAWBgJRAUBS+QKxgcooxGZE25agaJUSnAZ3UC\r\nsl" +  "puczAgg5MdXrk8wPlc7LKbSou3ae+VfZ7m8dAaf39TfYM8eYaAF4mH" +  "EQkAOw==")) ]]) + test_eq( img->autocrop(5,0,0,1,0),[[ +  Image.GIF.decode(MIME.decode_base64( +  "R0lGODlhHgAaAKIAAAAAAP8AAAAA/wD/AP///wAAAAAAAAAAACwAAA" +  "AAHgAaAAIDdEiku+0OxjgJ\r\nABdjvfemlOeJIwZGZZkCp6OqZbt4" +  "QVAHmyDowifTNltut/O1gMEh0XhCCjHEoum3CQYGA2y0Nz2q\r\nst" +  "mBSmb5hsUxaumMHpFh7LEaBmPN63IvHvbe8+9+TCCBeU2EbmRkiYqK" +  "jI2Nj5CQko0JADs=")) ]]) + test_eq( img->autocrop(5,0,1,0,0),[[ +  Image.GIF.decode(MIME.decode_base64( +  "R0lGODlhGwAeAKIAAAAAAP8AAAAA/wD/AP///wAAAAAAAAAAACwAAA" +  "AAGwAeAAIDfEiku+0Oxjgp\r\ntfdmrXnvHwheAFCaJpqmqcayL2y6" +  "slzTts3iQBD4gZRAMBS0SKnfL2giEo0zpGn5Ez6hAB6VCbhi\r\ntc" +  "vBQOw9UnTj8cDGY6nHbCnsvZa1U/T4WaczR/p9UXuBOneEfg6HhXKK" +  "iAuNdiMjkpOTlZaWmJmZ\r\nHQkAOw==")) ]]) + test_eq( img->autocrop(5,1,0,0,0),[[ +  Image.GIF.decode(MIME.decode_base64( +  "R0lGODlhGgAeAKIAAAAAAP8AAAAA/wD/AP///wAAAAAAAAAAACwAAA" +  "AAGgAeAAIDekiku+0Oxjgp\r\ntfdmrXnvH3gBAFmWJ4qi47q6L9DG" +  "cTzXNUutQdAHKIFAKNBFeD5fcDg0OpDJJdO5gCpLzGbplgwM\r\nBt" +  "9scburgcGD2m2FBqvLsXbaBn/J38dcjkrY78l5fzlrgiuEhYBPiHSB" +  "i3wiIpCRkZOUlJaXlwQJ\r\nADs=")) ]]) + test_do( add_constant("img") ) +  + test_equal( Image.Image(10,10,0,0,0)->max(), ({0,0,0}) ) + test_equal( Image.Image(10,10,17,42,36)->max(), ({17,42,36}) ) + test_equal( Image.Image(10,10,0,0,0)->setpixel(5,5,17,42,36)->max(), +  ({17,42,36}) ) + test_equal( Image.Image(10,10,0,0,0) +  ->setpixel(2,2,1,2,3) +  ->setpixel(3,3,17,42,36) +  ->setpixel(4,4,3,2,1) +  ->max(), ({17,42,36}) ) + test_equal( Image.Image(10,10,0,0,0) +  ->setpixel(2,2,17,2,3) +  ->setpixel(3,3,2,42,5) +  ->setpixel(4,4,3,2,36) +  ->max(), ({17,42,36}) ) +  + test_any_equal([[ +  object img=Image.Image(10,10,255,0,0); +  return img->getpixel(5,5); ]], ({255,0,0}) ) + test_any_equal([[ +  object img=Image.Image(10,10,255,0,0); +  img->setpixel(5,5,1,2,3); +  return img->getpixel(5,5); ]], ({1,2,3}) ) +  + test_any_equal([[ +  object img=Image.Image(10,10,255,0,0); +  img->setpixel(5,5,0,255,0,127); +  return img->getpixel(5,5); ]], ({127,128,0}) ) +  + test_any([[ +  object img=Image.Image(100,100,0,0,0); +  foreach (({40,50,60}),int z) +  { +  img->line(50-z,0,50,50,255,255,255); +  img->line(50-z,100,50,50,255,255,255); +  img->line(100,50+z,50,50,255,255,255); +  img->line(100,50-z,50,50,255,255,255); +  } +  return img; + ]],[[ +  Image.GIF.decode(MIME.decode_base64( +  "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")) + ]]) +  + test_do( add_constant("img", Image.Image(100,100,0,0,0)) ) + test_do( img->line(40,0,0,40) ) + test_equal( img->max(), ({ 0, 0, 0 }) ) + test_do( img->line(10,10,20,20,128,13,42) ) + test_equal( img->max(), ({ 128, 13, 42 }) ) + test_do( img->setcolor(200,19,99) ) + test_do( img->line(30,20,20,30) ) + test_equal( img->max(), ({ 200, 19, 99 }) ) + test_do( add_constant("img") ) +  + test_any([[ +  object img=Image.Image(100,100,0,0,0); +  foreach (({40,60,50}),int z) +  { +  img->box(z,0,50,50,255,z,255); +  img->box(z,100,50,50,255,z,0); +  img->box(100,z,50,50,0,z,255); +  img->box(0,z,50,50,0,z,0); +  } +  return img; + ]],[[ +  Image.GIF.decode(MIME.decode_base64( +  "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")) + ]]) +  + test_do( add_constant("img", Image.Image(100,100,0,0,0)) ) + test_do( img->box(40,0,0,40) ) + test_equal( img->max(), ({ 0, 0, 0 }) ) + test_equal( img->min(), ({ 0, 0, 0 }) ) + test_equal( img->sum(), ({ 0, 0, 0 }) ) + test_equal( img->sumf(), ({ 0.0, 0.0, 0.0 }) ) + test_equal( img->average(), ({ 0.0, 0.0, 0.0 }) ) + test_do( img->box(10,10,20,20,128,13,42) ) + test_equal( img->max(), ({ 128, 13, 42 }) ) + test_equal( img->min(), ({ 0, 0, 0 }) ) + test_equal( img->sum(), ({ 15488, 1573, 5082 }) ) + test_equal( (array(int))img->sumf(), ({ 15488, 1573, 5082 }) ) + test_equal( (array(int))img->average(), ({ 1, 0, 0}) ) + test_do( img->setcolor(200,19,99) ) + test_do( img->box(30,20,20,30) ) + test_equal( img->max(), ({ 200, 19, 99 }) ) + test_equal( img->min(), ({ 0, 0, 0 }) ) + test_equal( img->sum(), ({ 39560, 3859, 17019 }) ) + test_equal( (array(int))img->sumf(), ({ 39560, 3859, 17019 }) ) + test_equal( (array(int))img->average(), ({ 3, 0, 1 }) ) + test_do( add_constant("img") ) +  + test_define(test_polygone,[[ + test_any_equal([[ +  object img=Image.Image(100,100,0,0,0); +  float x=0,y=0.2; +  img->setcolor(255,254,253); +  img->polygone(({10+x,15+y,15+x,10+y,15+x,15+y}), +  ({20+x,15+y,25+x,15+y,20+x,10+y}), +  ({10+x,20+y,15+x,20+y,15+x,25+y}), +  ({20+x,25+y,25+x,20+y,20+x,20+y}), +  +  ({30+2*10+x,15+y,30+2*15+x,10+y,30+2*15+x,15+y}), +  ({30+2*20+x,15+y,30+2*25+x,15+y,30+2*20+x,10+y}), +  ({30+2*10+x,20+y,30+2*15+x,20+y,30+2*15+x,25+y}), +  ({30+2*20+x,25+y,30+2*25+x,20+y,30+2*20+x,20+y}), +  +  ({10+x,30+2*15+y,15+x,30+2*10+y,15+x,30+2*15+y}), +  ({20+x,30+2*15+y,25+x,30+2*15+y,20+x,30+2*10+y}), +  ({10+x,30+2*20+y,15+x,30+2*20+y,15+x,30+2*25+y}), +  ({20+x,30+2*25+y,25+x,30+2*20+y,20+x,30+2*20+y})); +  object img1=Image.GIF.decode(MIME.decode_base64( +  "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")); +  return $1; + ]],[[$2]]) + ]]) +  + test_polygone(img-img1<16, 1) + test_polygone(img->max(), ({255,254,253}) ) +  + define(test_polyfill,[[ + test_any_equal([[ +  object img=Image.Image(100,100,0,0,0); +  float x=0,y=0.2; +  img->setcolor(255,254,253); +  img->polygone(({10+x,15+y,15+x,10+y,15+x,15+y}), +  ({20+x,15+y,25+x,15+y,20+x,10+y}), +  ({10+x,20+y,15+x,20+y,15+x,25+y}), +  ({20+x,25+y,25+x,20+y,20+x,20+y}), +  +  ({30+2*10+x,15+y,30+2*15+x,10+y,30+2*15+x,15+y}), +  ({30+2*20+x,15+y,30+2*25+x,15+y,30+2*20+x,10+y}), +  ({30+2*10+x,20+y,30+2*15+x,20+y,30+2*15+x,25+y}), +  ({30+2*20+x,25+y,30+2*25+x,20+y,30+2*20+x,20+y}), +  +  ({10+x,30+2*15+y,15+x,30+2*10+y,15+x,30+2*15+y}), +  ({20+x,30+2*15+y,25+x,30+2*15+y,20+x,30+2*10+y}), +  ({10+x,30+2*20+y,15+x,30+2*20+y,15+x,30+2*25+y}), +  ({20+x,30+2*25+y,25+x,30+2*20+y,20+x,30+2*20+y})); +  +  object img1=Image.GIF.decode(MIME.decode_base64( +  "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")); +  return $1; + ]],[[$2]]) + ]]) +  + test_polyfill(img-img1<16, 1) + test_polyfill(img->max(), ({255,254,253}) ) +  + // Image.Image operations +  + test_do([[ add_constant("img", lambda(void|int x,void|int y) { +  return Image.Image(x||50,y||50,0,0,0,)->test(); + }) ]]) +  + test_do( img()->apply_curve( enumerate(256,-1,255) ) ) + test_do( img()->apply_curve( "red", enumerate(256,-1,255) ) ) + test_do( img()->apply_curve( "green", enumerate(256,-1,255) ) ) + test_do( img()->apply_curve( "blue", enumerate(256,-1,255) ) ) + test_do( img()->apply_curve( "value", enumerate(256,-1,255) ) ) + test_do( img()->apply_curve( "saturation", enumerate(256,-1,255) ) ) + test_do( img()->apply_curve( "hue", enumerate(256,-1,255) ) ) + test_eval_error( img()->apply_curve( "bar", enumerate(256,-1,255) ) ) +  + test_do([[ img()->apply_matrix( ({ ({-1,-1,-1}), ({-1,16,-1}), +  ({-1,-1,-1}) }) ) ]]) + test_do([[ img()->apply_matrix( ({ ({1,1,1}), ({1,-8,1}), +  ({1,1,1}) }) ) ]]) + test_do([[ img()->apply_matrix( ({ ({0,0,0}), ({1,-2,1}), +  ({0,0,0}) }) ) ]]) + test_do([[ img()->apply_matrix( ({ ({2,1,0}), ({1,0,-1}), +  ({0,-1,-2}) }), 128, 128, 128, 3.0 ) ]]) +  + // MISSING_TEST: apply_max +  + // autocrop tests above +  + // average tests above +  + test_do( img()->bitscale(0.75) ) + test_do( img()->bitscale(1.3, 0.6) ) + test_do( img()->bitscale(47, 11) ) + test_do( img()->bitscale(99, 0) ) + test_do( img()->bitscale(0, 99) ) +  + test_do( img()->blur(0) ) + test_do( img()->blur(1) ) + test_do( img()->blur(5) ) +  + test_do( img(100,100)->box(40,10,10,80) ) + test_do( img(100,100)->box(40,10,10,80,0,255,0) ) + test_do( img(100,100)->box(40,10,10,80,255,0,0,75) ) + test_do( img(10,10)->setcolor(255,17,48,80)->box(0,2,11,9) ) +  + test_do( (string)img() ) + test_do( (array)img() ) +  + test_do( img()->change_color(255,255,255) ) + test_do( img()->change_color(1,2,3,10,20,30) ) +  + test_do( img(100,100)->circle(50,50,30,50) ) + test_do( img(100,100)->circle(50,50,30,50,0,255,255) ) + test_do( img(100,100)->circle(50,50,30,50,0,255,255,75) ) +  + test_do( img()->clear() ) + test_do( img()->clear(0,128,255) ) + test_do( img()->clear(0,128,255,66) ) +  + test_do( img()->clone() ) + test_do( img()->clone(20,20) ) + test_do( img()->clone(100,100) ) + test_do( img()->clone(100,100,27,55,111) ) + test_do( img()->clone(99,99,66,33,22,11) ) +  + test_do( img()->color() ) + test_do( img()->color(69) ) + test_do( img()->color(128,128,255) ) +  + test_do( img()->copy() ) + test_do( img()->copy(5,5,45,45) ) + test_do( img()->copy(-5,-5,55,55) ) + test_do( img()->copy(-5,-5,55,55,255,0,0) ) + test_do( img()->copy(-5,-5,55,55,255,0,0,99) ) +  + test_do( Image.Image() ) + test_do( Image.Image(100,100) ) + test_do( Image.Image(100,100, Image.Color("red")) ) + test_do( Image.Image(100,100, "red") ) + test_do( Image.Image(100,100, "grey", 128) ) + test_do( Image.Image(100,100, "rgb", 11,22,33) ) + test_do( Image.Image(100,100, "cmyk", 10,20,30,40) ) + test_do( Image.Image(100,100, "test") ) + test_do( Image.Image(100,100, "gradients") ) + test_do( Image.Image(100,100, "noise", +  ({0, ({0,0,0}), 0.8, ({255,255,255}) }) ) ) + test_do( Image.Image(100,100, "turbulence", +  ({0, ({0,0,0}), 0.8, ({255,255,255}) }) ) ) + test_do( Image.Image(100,100, "random") ) + test_do( Image.Image(100,100, "randomgrey") ) + test_do( Image.Image(100,100, "tuned_box", +  ({ Image.Color.black, Image.Color.black, +  Image.Color.white, Image.Color.white}) ) ) + test_eval_error( Image.Image(100,100, "bacon") ) + test_do( Image.Image(100,100, 255,255,0) ) + dnl test_do( Image.Image(100,100, 255,255,0,40) ) +  + test_do( img()->dct(100,100) ) +  + test_do( img()->distancesq() ) + test_do( img()->distancesq(0,255,255) ) +  + // find_autocrp above +  + // MISSING TEST: find_max + // MISSING TEST: find_min +  + test_do( img()->gamma(0.8) ) + test_do( img()->gamma(0.9, 0.8, 1.1) ) +  + // MISSING TEST: get_pixel + // MISSING TEST: gradients +  + test_do( img()->grey() ) + test_do( img()->grey(0,0,255) ) +  + test_do( img()->grey_blur(1) ) + test_do( img()->grey_blur(5) ) +  + test_do( img()->hsv_to_rgb() ) +  + test_do( img()->invert() ) +  + test_do( img(100,100)->line(50,10,10,50) ) + test_do( img(100,100)->line(50,10,10,50,255,0,0) ) + test_do( img(100,100)->line(50,10,10,50,255,0,0,50) ) +  + test_do([[ +  Image.Image i=img(); +  array(Image.Image) a=i->orient4(); +  a[1]*=215; +  a[3]*=215; +  i->make_ascii(@a); + ]]) +  + // MISSING COMPATIBILITY TEST: map_closest + // MISSING COMPATIBILITY TEST: map_fast + // MISSING COMPATIBILITY TEST: map_fs +  + // MISSING TEST: match +  + // max tests above + // min tests above +  + test_any([[ +  Image.Image i=img(); +  return i->mirrorx()->mirrorx() == i; + ]], 1) +  + test_any([[ +  Image.Image i=img(); +  return i->mirrory()->mirrory() == i; + ]], 1) +  + test_do( img()->grey()->modify_by_intensity(1,0,0,0,({255,0,0}),({0,255,0})) ) +  + test_do( img()->noise(({0,({255,0,0}),0.3,({0,255,0}),0.6,({0,0,255}),0.8, +  ({255,255,0})})) ) + test_do( img()->noise(({0,({255,0,0}),0.3,({0,255,0}),0.6,({0,0,255}),0.8, +  ({255,255,0})}), 0.2,0.0,0.0,1.0) ) +  + test_do( img()->orient() ) +  + test_eq( sizeof(img()->orient4()), 4 ) +  + test_do( img()->outline() ) + test_do( img()->outline(12, 34, 56) ) + test_do( img()->outline(55, 55, 55, 78, 90, 123) ) + test_do( img()->outline( ({({1,1,0}),({1,1,1}),({0,0,1})}) ) ) + test_do( img()->outline( ({({1,1,0}),({1,1,1}),({0,0,1})}), +  33, 44, 55 ) ) + test_do( img()->outline( ({({1,1,0}),({1,1,1}),({0,0,1})}), +  47, 11, 00, 17, 42, 242 ) ) +  + test_do( img()->outline_mask() ) + test_do( img()->outline_mask(99, 99, 112) ) + test_do( img()->outline_mask( ({({1,1,0}),({1,1,1}),({0,0,1})}) ) ) + test_do( img()->outline_mask( ({({1,1,0}),({1,1,1}),({0,0,1})}), +  101, 202, 33 ) ) +  + // MISSING TEST: paste + // MISSING TEST: paste_alpha + // MISSING TEST: paste_alpha_color + // MISSING TEST: paste_mask +  + test_do( img()->phaseh() ) + test_do( img()->phasev() ) + test_do( img()->phasevh() ) + test_do( img()->phasehv() ) +  + test_do( Image.Image(100,100)->setcolor(255,0,0,128)-> +  polyfill( ({20,20, 80,20, 80,80 }) ) ) +  + test_true( img()->random() != img()->random() ) + test_true( img()->random(17) == img()->random(17) ) +  + test_do( img()->randomgrey() ) +  + test_eq( img()->write_lsb_rgb("hello")->read_lsb_rgb(), "hello"+"\0"*933 ) + test_eq( img()->write_lsb_grey("hello")->read_lsb_grey(), "hello"+"\0"*308 ) +  + test_do( img()->rgb_to_hsv() ) +  + test_do( img()->rotate(17) ) + test_do( img()->rotate(33.333) ) + test_do( img()->rotate(44, 250, 1, 2) ) +  + test_do( img()->rotate_expand(18) ) + test_do( img()->rotate_expand(34.333) ) + test_do( img()->rotate_expand(45, 241, 2, 3) ) +  + test_do( img()->rotate_ccw() ) + test_do( img()->rotate_cw() ) +  + test_do( img()->scale(0.5) ) + test_do( img()->scale(3.7) ) + test_do( img()->scale(2.1, 0.9) ) + test_do( img()->scale(101, 99) ) + test_do( img()->scale(0, 55) ) + test_do( img()->scale(0, 33) ) + test_do( img()->scale(55, 0) ) + test_do( img()->scale(33, 0) ) +  + // MISSING COMPATIBILITY TEST: select_colors +  + test_do( img()->setcolor( 255, 0, 128 ) ) + test_do( img()->setcolor( 128, 255, 0, 192 ) ) +  + test_do( img()->setpixel( 37, 48 ) ) + test_do( img()->setpixel( 50, 50 ) ) + test_do( img()->setpixel( 11, 12, Image.Color.red ) ) + test_do( img()->setpixel( 11, 12, 13, 14, 15 ) ) + test_do( img()->setpixel( 22, 23, 24, 25, 26, 27 ) ) +  + test_do( img()->skewx(10) ) + test_do( img()->skewx(16.4) ) + test_do( img()->skewx(13, 26, 36, 47) ) + test_do( img()->skewx(22.8, 100, 75, 26) ) +  + test_do( img()->skewy(10) ) + test_do( img()->skewy(16.4) ) + test_do( img()->skewy(13, 26, 36, 47) ) + test_do( img()->skewy(22.8, 100, 75, 26) ) +  + // sum tests above + // sumf tests above +  + // test tests above +  + test_do( img()->threshold() ) + test_do( img()->threshold(28) ) + test_do( img()->threshold(128, 255, 111) ) + test_do( img()->threshold(Image.Color.green) ) +  + test_do( img()->tuned_box(10,10,40,40, +  ({({255,0,0}),({255,255,255}),({128,100,0}),({0,70,255})}) ) ) + test_do( img()->tuned_box(10,10,40,40, +  ({({255,0,0,0}),({255,255,255,240}),({128,100,0,230}),({0,70,255,7})}) ) ) +  + test_do( img()->turbulence( ({0, ({229,204,204}), 0.9,({229,20,20}), +  0.9,Image.Color.black}) ) ) +  + test_eq( img(77,88)->xsize(), 77 ) + test_eq( img(77,88)->ysize(), 88 ) +  + test_do( add_constant("img") ) +  +  +  + test_true( objectp(Image.Font()) ) + test_eq( Image.Font()->write("hej"), +  Image.PNM.decode(MIME.decode_base64("UDQKMTkgMTEK///gv/7gv//grzjglt7gth7gtv7gtv7gtx7g//7g//Hg")) ) + test_eq( Image.Font()->write("h","o"), +  Image.PNM.decode(MIME.decode_base64("UDQKNyAyMwr+vr6ulra2trb+/v7+/s62tra2zv7+/g==")) ) +  +  + dnl #### Colortable +  +  + define(test_blackwhite,[[ +  test_equal_any($1,[[ (< Image.Color.white, Image.Color.black >) ]]) + ]]) + test_blackwhite([[ +  return (multiset)(array)Image.Colortable( +  ({Image.Color.white,Image.Color.black})) + ]]) + test_blackwhite([[ +  object img=Image.Image(100,100)->test(43); +  object c=Image.Colortable(({Image.Color.white,Image.Color.black})); +  img=c*img; +  return (multiset)(array)Image.Colortable(img); + ]]) + test_blackwhite([[ +  object img=Image.Image(100,100)->test(43); +  object c=Image.Colortable(({Image.Color.white,Image.Color.black})); +  c->floyd_steinberg(); +  img=c*img; +  return (multiset)(array)Image.Colortable(img); + ]]) + test_blackwhite([[ +  object img=Image.Image(100,100)->test(43); +  object c=Image.Colortable(({Image.Color.white,Image.Color.black})); +  c->ordered(); +  img=c*img; +  return (multiset)(array)Image.Colortable(img); + ]]) +  + define(test_coltab,[[ +  test_do([[ +  object img=Image.Image(200,200)->test(42); +  img->tuned_box(50,50,150,150, +  ({({0,0,0}),({255,0,0}),({0,255,0}),({0,0,255})})); +  add_constant("img", img); +  ]]) +  $1 +  test_do( add_constant("img") ) + ]]) +  + test_coltab([[ +  test_do([[ +  add_constant("c", Image.Colortable(img,1000)->cubicles(16,16,16,4) ) +  ]]) +  test_true( sizeof(c)>=200 ) +  test_true( img-(c*img)<50 ) +  test_do( add_constant("c") ) + ]]) +  + test_coltab([[ +  test_do([[ +  add_constant("c", Image.Colortable(32,32,32)->floyd_steinberg() ) +  ]]) +  test_true( img-(c*img)<50 ) +  test_do( add_constant("c") ) + ]]) +  + test_coltab([[ +  test_do([[ +  add_constant("c", Image.Colortable(32,32,32)->ordered()) +  ]]) +  test_true( img-(c*img)<32 ) +  test_do( add_constant("c") ) + ]]) +  + test_true( Image.Colortable(Image.Image(10,10)->randomgrey())->greyp() ) + test_false( Image.Colortable(Image.Image(10,10,255,0,0))->greyp() ) +  +  + dnl #### Encodings +  + define(test_encoding,[[ +  cond( (master()->resolv("Image.$1")||([]))->encode,[[ +  test_any([[ +  object img=Image.Image(100,100)->test(40); +  $2 +  object img1=Image.$1.decode(Image.$1.encode(img$3)); +  return img==img1; +  ]],1) +  ]]) + ]]) +  + test_encoding(AVS,,) + test_encoding(BMP,,) + test_encoding(BMP,[[ +  img=Image.Colortable(img,256)*img; + ]],[[,(["bpp":8])]]) + test_encoding(BMP,[[ +  img=Image.Colortable(img,16)*img; + ]],[[,(["bpp":4])]]) + test_encoding(BMP,[[ +  img=Image.Colortable(img,2)->floyd_steinberg()*img; + ]],[[,(["bpp":1])]]) +  + define(test_bmp_rle,[[ +  test_any([[ +  object img=Image.Image(400,100,Image.Color.red); +  img->line(0,0,0,99,Image.Color.green); +  img->line(399,0,399,99,Image.Color.blue); +  object c=Image.Colortable(img,pow(2,$1)); +  img=c*img; +  return Image.BMP.decode(Image.BMP.encode(img,(["bpp":$1,"rle":1])))==img; +  ]],1) + ]]) + test_bmp_rle(8) + test_bmp_rle(4) +  + test_encoding(BMP,[[ +  img=img->scale(400,100); +  object c=Image.Colortable(img,256); +  img=c*img; + ]],[[,(["bpp":8,"rle":1])]]) + test_encoding(BMP,[[ +  img=img->scale(400,100); +  object c=Image.Colortable(img,16); +  img=c*img; + ]],[[,(["bpp":4,"rle":1])]]) + test_do([[ +  Image.Image img=Image.Image(50,50)->test(); +  string s = Image.BMP.encode(img); +  return Image.BMP.decode(s, (["quality":50])); + ]]) +  + test_encoding(GIF,[[ +  img = Image.Colortable(img,250)->cubicles(10,10,10,1)-> +  floyd_steinberg()*img; + ]],) + test_encoding(GIF,[[ +  object c=Image.Colortable(img,256)->cubicles(16,16,16,1); +  img=c*img; + ]],[[,c]]) +  + test_any([[ +  object img=Image.Image(100,100)->test(43); +  object c=Image.Colortable(img,256)->floyd_steinberg()->cubicles(16,16,16); +  img=c*img; +  object img1=Image.GIF.decode(Image.GIF.encode(img,c)); +  return img-img1<50; + ]],1) +  + test_any([[ +  object img=Image.Image(256,240)->test(43); +  img=Image.Colortable( ({"white","black","red","green"}) )*img; +  return Image.HRZ.decode(Image.HRZ.encode(img))==img; + ]],1) +  + test_encoding(ILBM,[[ +  img=Image.Colortable(img,16)*img; + ]],) +  + cond( (master()->resolv("Image.JPEG")||([]))->encode,[[ +  test_any([[ +  object img=Image.Image(100,100)->test(43); +  object img1=Image.JPEG.decode(Image.JPEG.encode(img,(["quality":100]))); +  return img-img1<10; +  ]],1) + ]]) +  + test_encoding(PCX,,) + test_encoding(PNG,,) + test_encoding(PNM,,) + dnl test_encoding(PVR,,) + test_encoding(RAS,,) + test_encoding(TGA,,) + dnl test_encoding(WBF,[[ + dnl object c=Image.Colortable(({Image.Color.white,Image.Color.black})); + dnl img=c*img; + dnl ]],) + dnl test_encoding(WBMP,[[ + dnl object c=Image.Colortable(({Image.Color.white,Image.Color.black})); + dnl img=c*img; + dnl ]],) + test_encoding(XBM,[[ +  object c=Image.Colortable(({Image.Color.white,Image.Color.black})); +  img=c*img; + ]],) +  + cond_resolv( Image.PNG.decode_header, [[ +  test_equal( Image.PNG.decode_header(Image.PNG.encode(Image.Image(20,20))), +  (["bpp":8, "type":2, "xsize":20, "ysize":20 ]) ) + ]]) +  + cond_resolv( Image.PNG.encode, [[ +  test_true( Image.PNG.encode(Image.Image(5,5)) ) +  test_true( Image.PNG.encode(Image.Image(5,5), ([])) ) +  test_true( Image.PNG.encode(Image.Image(5,5), (["alpha":0])) ) +  test_eval_error( Image.PNG.encode(Image.Image(5,5), (["alpha":"x"])) ) +  test_eval_error( Image.PNG.encode(Image.Image(5,5), (["alpha":Image.Image(4,4)])) ) +  test_true( Image.PNG.encode(Image.Image(5,5), (["alpha":Image.Image(5,5)])) ) +  dnl FIXME: Test that alpha is actually encoded +  dnl FIXME: Test "palette" attribute +  test_eval_error( Image.PNG.encode(Image.Image(5,5), (["zlevel":"x"])) ) +  test_true( Image.PNG.encode(Image.Image(5,5), (["zlevel":0])) ) +  test_true( Image.PNG.encode(Image.Image(5,5), (["zlevel":9])) ) +  test_true( Image.PNG.encode(Image.Image(5,5), (["zstrategy":Gz.DEFAULT_STRATEGY])) ) +  test_true( Image.PNG.encode(Image.Image(5,5), (["zstrategy":Gz.FILTERED])) ) +  test_true( Image.PNG.encode(Image.Image(5,5), (["zstrategy":Gz.HUFFMAN_ONLY])) ) + ]]) +  + dnl ACK! cond_resolv does not nest. But if Gz.RLE or Gz.FIXED exists, it + dnl means the Gz module is there, and in that case Image.PNG should be too... + cond_resolv( Gz.RLE, [[ +  test_true( Image.PNG.encode(Image.Image(5,5), (["zstrategy":Gz.RLE])) ) + ]]) + cond_resolv( Gz.FIXED, [[ +  test_true( Image.PNG.encode(Image.Image(5,5), (["zstrategy":Gz.FIXED])) ) + ]]) +  + cond( (master()->resolv("Image.XFace")||([]))->encode,[[ +  test_any([[ +  object img=Image.Image(48,48)->test(43); +  object c=Image.Colortable(({Image.Color.white,Image.Color.black})); +  c->floyd_steinberg(); +  img=c*img; +  return Image.XFace.decode(Image.XFace.encode(img))==img; +  ]],1) + ]]) +  + test_encoding(XPM,[[ +  object c=Image.Colortable(16,16,16); +  img=c*img; + ]],[[,(["colortable":c]) ]]) + test_encoding(TIFF,,) + END_MARKER   Newline at end of file added.